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markets
View on CRAN: Click
here
Download and install markets package within the R console
Install from CRAN:
install.packages("markets")
Install from Github:
library("remotes")
install_github("cran/markets")
Install by package version:
library("remotes")
install_version("markets", "1.1.5")
Attach the package and use:
library("markets")
Maintained by
Pantelis Karapanagiotis
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-18
Latest Update: 2023-01-06
Description:
Provides estimation methods for markets in equilibrium and
disequilibrium. Supports the estimation of an equilibrium and
four disequilibrium models with both correlated and independent shocks.
Also provides post-estimation analysis tools, such as aggregation,
marginal effect, and shortage calculations. See Karapanagiotis (2024)
for an overview of the functionality
and examples. The estimation methods are based on full information
maximum likelihood techniques given in
Maddala and Nelson (1974) . They are implemented
using the analytic derivative expressions calculated in
Karapanagiotis (2020) . Standard
errors can be estimated by adjusting for heteroscedasticity or clustering.
The equilibrium estimation constitutes a case of a system of linear,
simultaneous equations. Instead, the disequilibrium models replace the
market-clearing condition with a non-linear,
short-side rule and allow for different specifications of price dynamics.
How to cite:
Pantelis Karapanagiotis (2022). markets: Estimation Methods for Markets in Equilibrium and Disequilibrium. R package version 1.1.5, https://cran.r-project.org/web/packages/markets. Accessed 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited markets R package
View markets citation profile
Other R packages that markets depends,
imports, suggests or enhances
Complete documentation for markets
Functions, R codes and Examples using
the markets R package
Some associated functions: coef . equation_classes . estimate . formula-market_model-method . houses . logLik . marginal_effects . market_aggregation . market_descriptives . market_fit-class . market_models . market_quantities . market_simulation . markets . model_description . model_initialization . model_likelihoods . model_logger-class . ncoef . nobs . plot . shortage_analysis . show . single_call_estimation . summary . system_classes . variable_names . vcov .
Some associated R codes: data.R . diseq_basic.R . diseq_deterministic_adjustment.R . diseq_directional.R . diseq_stochastic_adjustment.R . disequilibrium_model.R . equation_base.R . equation_basic.R . equation_deterministic_adjustment.R . equation_directional.R . equation_stochastic_adjustment.R . equilibrium_model.R . gradient_basic.R . gradient_deterministic_adjustment.R . gradient_directional.R . gradient_equilibrium.R . gradient_stochastic_adjustment.R . hessian_basic.R . hessian_directional.R . likelihood_basic.R . likelihood_deterministic_adjustment.R . likelihood_directional.R . likelihood_equilibrium.R . likelihood_stochastic_adjustment.R . market_fit.R . market_model.R . markets.R . model_logger.R . model_simulation.R . system_base.R . system_basic.R . system_deterministic_adjustment.R . system_directional.R . system_equilibrium.R . system_stochastic_adjustment.R . Full markets package functions and examples
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